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Artificial Intelligence 5 January 2026 - 6 January 2026

Nvidia stock jumps after CEO says Rubin AI chips are “in full production” at CES

Nvidia stock jumps after CEO says Rubin AI chips are “in full production” at CES

Nvidia shares rose 1.1% to $190.12 in early New York trade on Tuesday after CEO Jensen Huang said the chipmaker’s next-generation Vera Rubin platform is “in full production.” Huang told CES attendees the flagship Rubin server will use 72 graphics chips and 36 central processors and target a 10-fold gain in “token” efficiency — tokens are the small units AI models generate as output. Reuters
Zeta Global stock jumps on OpenAI partnership, fueling short-squeeze chatter in AI trade

Zeta Global stock jumps on OpenAI partnership, fueling short-squeeze chatter in AI trade

Zeta Global shares jumped nearly 9% on Monday after the marketing technology firm said it will collaborate with OpenAI to power Athena, a tool it says can answer marketing questions and recommend actions for teams. The announcement, made at CES 2026, included expanded beta access for Athena’s first two applications and a plan to launch the product to all customers by the end of the first quarter, the company said. “We’ve formed many partnerships throughout Zeta’s history, but none will be more instrumental than the one we are embarking on with OpenAI,” CEO David A. Steinberg said. Business Wire
Nvidia says Rubin chips are in full production at CES 2026 as Mercedes adopts DRIVE AV

Nvidia says Rubin chips are in full production at CES 2026 as Mercedes adopts DRIVE AV

Nvidia CEO Jensen Huang said at CES in Las Vegas on Monday that the company’s next-generation Vera Rubin AI platform is in full production and can deliver five times the artificial-intelligence computing of its previous chips when running chatbots and other applications. He said Rubin uses a proprietary kind of data to reach that gain, adding: “This is how we were able to deliver such a gigantic step up in performance.” The push comes as rivals such as Advanced Micro Devices and in-house chips from customers like Alphabet’s Google compete more aggressively for the market of running trained AI models at scale. Reuters
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